#include <math.h>
#include <stdio.h>
#include <stdlib.h>
#include <ctype.h>
#include <float.h>
#include <string.h>
#include <stdarg.h>
#include <limits.h>
#include <locale.h>
#include "svm.h"

Include dependency graph for svm.cpp:

Classes
class	Cache
struct	decision_function
struct	Cache::head_t
class	Kernel
class	ONE_CLASS_Q
class	QMatrix
struct	Solver::SolutionInfo
class	Solver
class	Solver_NU
class	SVC_Q
class	SVR_Q
Defines
#define	FSCANF(_stream, _format, _var) do{ if (fscanf(_stream, _format, _var) != 1) return false; }while(0)
#define	INF HUGE_VAL
#define	Malloc(type, n) (type )malloc((n)sizeof(type))
#define	TAU 1e-12
Typedefs
typedef float	Qfloat
typedef signed char	schar
Functions
template<class S , class T >
static void	clone (T &dst, S src, int n)
static void	info (const char *fmt,...)
template<class T >
static T	max (T x, T y)
template<class T >
static T	min (T x, T y)
static void	multiclass_probability (int k, double *r, double p)
static double	powi (double base, int times)
static void	print_string_stdout (const char *s)
bool	read_model_header (FILE fp, svm_model model)
static char *	readline (FILE *input)
static double	sigmoid_predict (double decision_value, double A, double B)
static void	sigmoid_train (int l, const double dec_values, const double labels, double &A, double &B)
static void	solve_c_svc (const svm_problem prob, const svm_parameter param, double alpha, Solver::SolutionInfo si, double Cp, double Cn)
static void	solve_epsilon_svr (const svm_problem prob, const svm_parameter param, double alpha, Solver::SolutionInfo si)
static void	solve_nu_svc (const svm_problem prob, const svm_parameter param, double alpha, Solver::SolutionInfo si)
static void	solve_nu_svr (const svm_problem prob, const svm_parameter param, double alpha, Solver::SolutionInfo si)
static void	solve_one_class (const svm_problem prob, const svm_parameter param, double alpha, Solver::SolutionInfo si)
static void	svm_binary_svc_probability (const svm_problem prob, const svm_parameter param, double Cp, double Cn, double &probA, double &probB)
const char *	svm_check_parameter (const svm_problem prob, const svm_parameter param)
int	svm_check_probability_model (const svm_model *model)
void	svm_cross_validation (const svm_problem prob, const svm_parameter param, int nr_fold, double *target)
void	svm_destroy_param (svm_parameter *param)
void	svm_free_and_destroy_model (svm_model **model_ptr_ptr)
void	svm_free_model_content (svm_model *model_ptr)
void	svm_get_labels (const svm_model model, int label)
int	svm_get_nr_class (const svm_model *model)
int	svm_get_nr_sv (const svm_model *model)
void	svm_get_sv_indices (const svm_model model, int indices)
int	svm_get_svm_type (const svm_model *model)
double	svm_get_svr_probability (const svm_model *model)
static void	svm_group_classes (const svm_problem prob, int nr_class_ret, int label_ret, int start_ret, int *count_ret, int perm)
svm_model *	svm_load_model (const char *model_file_name)
double	svm_predict (const svm_model model, const svm_node x)
double	svm_predict_probability (const svm_model model, const svm_node x, double *prob_estimates)
double	svm_predict_values (const svm_model model, const svm_node x, double *dec_values)
int	svm_save_model (const char model_file_name, const svm_model model)
void	svm_set_print_string_function (void(print_func)(const char ))
static double	svm_svr_probability (const svm_problem prob, const svm_parameter param)
svm_model *	svm_train (const svm_problem prob, const svm_parameter param)
static decision_function	svm_train_one (const svm_problem prob, const svm_parameter param, double Cp, double Cn)
template<class T >
static void	swap (T &x, T &y)
Variables
static const char *	kernel_type_table []
int	libsvm_version = LIBSVM_VERSION
static char *	line = NULL
static int	max_line_len
static void(*	svm_print_string )(const char *) = &print_string_stdout
static const char *	svm_type_table []

Define Documentation

#define FSCANF	(	_stream,
		_format,
		_var
	)	do{ if (fscanf(_stream, _format, _var) != 1) return false; }while(0)

Definition at line 2766 of file svm.cpp.

#define INF HUGE_VAL

Definition at line 37 of file svm.cpp.

#define Malloc	(	type,
		n
	)	(type )malloc((n)sizeof(type))

Definition at line 39 of file svm.cpp.

#define TAU 1e-12

Definition at line 38 of file svm.cpp.

Typedef Documentation

typedef float Qfloat

Definition at line 12 of file svm.cpp.

typedef signed char schar

Definition at line 13 of file svm.cpp.

Function Documentation

template<class S , class T >

static void clone	(	T *&	dst,
		S *	src,
		int	n
	)		`[inline, static]`

Definition at line 21 of file svm.cpp.

static void info	(	const char *	fmt,
			...
	)		`[static]`

Definition at line 48 of file svm.cpp.

template<class T >

static T max	(	T	x,
		T	y
	)		`[inline, static]`

Definition at line 18 of file svm.cpp.

template<class T >

static T min	(	T	x,
		T	y
	)		`[inline, static]`

Definition at line 15 of file svm.cpp.

static void multiclass_probability	(	int	k,
		double **	r,
		double *	p
	)		`[static]`

Definition at line 1829 of file svm.cpp.

static double powi	(	double	base,
		int	times
	)		`[inline, static]`

Definition at line 26 of file svm.cpp.

static void print_string_stdout ( const char * s ) [static]

Definition at line 41 of file svm.cpp.

bool read_model_header	(	FILE *	fp,
		svm_model *	model
	)

Definition at line 2767 of file svm.cpp.

static char* readline ( FILE * input ) [static]

Definition at line 2741 of file svm.cpp.

static double sigmoid_predict	(	double	decision_value,
		double	A,
		double	B
	)		`[static]`

Definition at line 1818 of file svm.cpp.

static void sigmoid_train	(	int	l,
		const double *	dec_values,
		const double *	labels,
		double &	A,
		double &	B
	)		`[static]`

Definition at line 1705 of file svm.cpp.

static void solve_c_svc	(	const svm_problem *	prob,
		const svm_parameter *	param,
		double *	alpha,
		Solver::SolutionInfo *	si,
		double	Cp,
		double	Cn
	)		`[static]`

Definition at line 1440 of file svm.cpp.

static void solve_epsilon_svr	(	const svm_problem *	prob,
		const svm_parameter *	param,
		double *	alpha,
		Solver::SolutionInfo *	si
	)		`[static]`

Definition at line 1562 of file svm.cpp.

static void solve_nu_svc	(	const svm_problem *	prob,
		const svm_parameter *	param,
		double *	alpha,
		Solver::SolutionInfo *	si
	)		`[static]`

Definition at line 1475 of file svm.cpp.

static void solve_nu_svr	(	const svm_problem *	prob,
		const svm_parameter *	param,
		double *	alpha,
		Solver::SolutionInfo *	si
	)		`[static]`

Definition at line 1600 of file svm.cpp.

static void solve_one_class	(	const svm_problem *	prob,
		const svm_parameter *	param,
		double *	alpha,
		Solver::SolutionInfo *	si
	)		`[static]`

Definition at line 1530 of file svm.cpp.

static void svm_binary_svc_probability	(	const svm_problem *	prob,
		const svm_parameter *	param,
		double	Cp,
		double	Cn,
		double &	probA,
		double &	probB
	)		`[static]`

Definition at line 1893 of file svm.cpp.

const char* svm_check_parameter	(	const svm_problem *	prob,
		const svm_parameter *	param
	)

Definition at line 3035 of file svm.cpp.

int svm_check_probability_model ( const svm_model * model )

Definition at line 3156 of file svm.cpp.

void svm_cross_validation	(	const svm_problem *	prob,
		const svm_parameter *	param,
		int	nr_fold,
		double *	target
	)

Definition at line 2339 of file svm.cpp.

void svm_destroy_param ( svm_parameter * param )

Definition at line 3029 of file svm.cpp.

void svm_free_and_destroy_model ( svm_model ** model_ptr_ptr )

Definition at line 3019 of file svm.cpp.

void svm_free_model_content ( svm_model * model_ptr )

Definition at line 2984 of file svm.cpp.

void svm_get_labels	(	const svm_model *	model,
		int *	label
	)

Definition at line 2470 of file svm.cpp.

int svm_get_nr_class ( const svm_model * model )

Definition at line 2465 of file svm.cpp.

int svm_get_nr_sv ( const svm_model * model )

Definition at line 2484 of file svm.cpp.

void svm_get_sv_indices	(	const svm_model *	model,
		int *	indices
	)

Definition at line 2477 of file svm.cpp.

int svm_get_svm_type ( const svm_model * model )

Definition at line 2460 of file svm.cpp.

double svm_get_svr_probability ( const svm_model * model )

Definition at line 2489 of file svm.cpp.

static void svm_group_classes	(	const svm_problem *	prob,
		int *	nr_class_ret,
		int **	label_ret,
		int **	start_ret,
		int **	count_ret,
		int *	perm
	)		`[static]`

Definition at line 2014 of file svm.cpp.

svm_model* svm_load_model ( const char * model_file_name ) [read]

Definition at line 2876 of file svm.cpp.

double svm_predict	(	const svm_model *	model,
		const svm_node *	x
	)

Definition at line 2577 of file svm.cpp.

double svm_predict_probability	(	const svm_model *	model,
		const svm_node *	x,
		double *	prob_estimates
	)

Definition at line 2592 of file svm.cpp.

double svm_predict_values	(	const svm_model *	model,
		const svm_node *	x,
		double *	dec_values
	)

Definition at line 2501 of file svm.cpp.

int svm_save_model	(	const char *	model_file_name,
		const svm_model *	model
	)

Definition at line 2641 of file svm.cpp.

void svm_set_print_string_function ( void(*)(const char *) print_func )

Definition at line 3164 of file svm.cpp.

static double svm_svr_probability	(	const svm_problem *	prob,
		const svm_parameter *	param
	)		`[static]`

Definition at line 1980 of file svm.cpp.

svm_model* svm_train	(	const svm_problem *	prob,
		const svm_parameter *	param
	)

Definition at line 2092 of file svm.cpp.

static decision_function svm_train_one	(	const svm_problem *	prob,
		const svm_parameter *	param,
		double	Cp,
		double	Cn
	)		`[static]`

Definition at line 1647 of file svm.cpp.

template<class T >

static void swap	(	T &	x,
		T &	y
	)		`[inline, static]`

Definition at line 20 of file svm.cpp.

Variable Documentation

const char* kernel_type_table[] [static]

Initial value:

{
        "linear","polynomial","rbf","sigmoid","precomputed",NULL
}

Definition at line 2636 of file svm.cpp.

int libsvm_version = LIBSVM_VERSION

Definition at line 11 of file svm.cpp.

char* line = NULL [static]

Definition at line 2738 of file svm.cpp.

int max_line_len [static]

Definition at line 2739 of file svm.cpp.

void(* svm_print_string)(const char *) = &print_string_stdout [static]

Definition at line 46 of file svm.cpp.

const char* svm_type_table[] [static]

Initial value:

{
        "c_svc","nu_svc","one_class","epsilon_svr","nu_svr",NULL
}

Definition at line 2631 of file svm.cpp.

Classes

Defines

Typedefs

Functions

Variables

Define Documentation

Typedef Documentation

Function Documentation

Variable Documentation